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The Modern Data Platform - Getting the most from your data
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David Milburn Bart Patrick
Business Development ManagerBIG Data & Analytics
Director, Insurance EMEA North
[email protected] [email protected]
DavidAMilburn
Thursday August 10th 2017
Challenges | Gartner’s “NEXUS of Forces” & Digital Disruption
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Cloud Mobile
Social Analytics
MobileMartini access – anytime, anyplace, anywhereCross Platform – Phone, Tablet, Laptop, iOS, Android, Windows, osX
Cloud
Flexible, Elastic DeploymentSubscription LicensingAccelerated Release CyclesLess Requirement for Internal IT Skills
SocialIdentify, understand, engage and influence the conversations that are being
had about you, your brand
and your products
AnalyticsLeverage all data that is available inside and outsidethe organisation in order to deliver insight and drive performance
© Gartner – June 2012
Risk mitigation will be improved by using the new technologies of artificial intelligence and machine learning
Risk mitigation
Disruptive competitors will challenge by adopting an innovative approach that enables rapid development .
Disruptive competitors
Connecting policyholder’s ever-growing IoT data will provide an opportunity to deliver innovative product offerings and services
Connected networks
A new response is required
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#itelli2017
The Modern Data Platform
Responding to the evolving business needs
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5© 2017 SAP AG or an SAP affiliate company. All rights reserved.
Digitalisation – why a modern data platform mattersWhat needs to be done to help every FS company to overcome their structural issues?
Real-time
data
IoT
Integration
Collaboration
Machine learning
Mobile
Integration
Real-time
analytics
Intelligently connecting people, things, and businesses
UX
Microservices
APIs
6© 2017 SAP AG or an SAP affiliate company. All rights reserved.
5 strategic priorities for insurance companiesHow Insurers are preparing for the digital revolution – but without a modern data platform, well…
• Track data from the
intelligent connections
between people, businesses,
things, processes, channels
and devices
• Share this meaningful,
actionable sensor information
across their enterprise on
one secure platform to
optimize channel
management, product
creation and service
delivery.
• Policyholder’s behavior and
points of view will drive
which products and
services are offered, when
and where.
• Specialization of
Policyholder requirements
will impact every aspect of
the insurance value delivery
• Take action on key insights
provided by Internet of
Things applications and
related insurance services.
• Simplify the process of
collecting customer data
from disparate equipment
types to make more
effective, informed
decisions and realize the full
value of IoT.
• Attract and keep
Policyholders by managing
an integrated, multichannel
environment
• Create consistent, loyalty-
building experiences that
will help them meet the
expectations of
policyholders in today's
digital world.
• Deliver innovative products
to market quickly, while
maintaining existing products
more efficiently.
• Bundle products across
lines of business, and even
with noninsurance
products and services, to
cater tailored products to
specific policyholder
segments and distribution
channels.
Digital Business
Insurer
Connected
Insurer
Data driven
Insurer
Consistent & customized
omnichannel experience
Product
Agility
Away from technologies towards a Platform: Re-imagine the future
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Modern Data Platform Services underpinning SAP Applications
Support for Open & Agile business development
Support for modern responses to business needs e.g. Gartner Nexus
Tighter integration between “applications” and “business analytics”
Simplified IT platform & TCO
Avoid “death by 1000 Insurtech cuts”
Cloud, On-Prem & Hybrid deployment
SAP Cloud Platform: Preparing our clients for the future of Insurance
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Data, Storage & Integration in a nutshellWhat is required?
In-Memory, Relational Persistence & High Performance for mission critical applications
Big Data Services – Hadoop, Spark, Hive, Pig etc.
Object-Relational & NoSQL store
Unstructured document service based upon OASIS CMIS standard
ACID compliance where required
Data Integration, Data Streaming, Data Synchronisation, Messaging and Federated Access
Process Integration, Workflow & Business Rules Management
API Development
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Storage and integration requirements all under one roof (on-prem, Cloud, Hybrid)
Analytics evolution with a modern data platform
Analytics embedded into applications / workflows
Real-time view of current & historic transactions
Predictive & Advanced Analytics
Statistical & Mathematical modelling
Geospatial Analysis
Text Mining & Sentiment Analysis
Streaming Analytics
SaaS analytics cloud delivery
Uncover trends in time series data
Agile data preparation – simplify discovery & data shaping
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Analytical requirements all under one roof (on-prem, Cloud, Hybrid)
Why machine Learning needs a modern data platform.
Process automation & innovation
Natural Language Processing Services
Documents
Emails
Social Media
Image Processing Services
Classification
Feature extraction
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Analytical & data requirements all under one roof (on-prem, Cloud, Hybrid)
What will Application Development look like?
Integration baked in
Mobile & Web Based IDE
iOS, Android, Windows SDK
App & Device Management
UI Themes
Collaboration & Omni-channel
Development
End user services
Modern Standards – Java, HTML5, CSS, Javascript, node.js, Python, Ruby, Adobe, Odata ….
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Development requirements all under one roof (on-prem, Cloud, Hybrid)
•Focus shift from internal admin to policyholder admin
•Development shift from core admin development to policyholder service development
Meteoprotect – Agriculture weather protection
#itelli2017
1
Define your use cases
What is your organisation already doing?
What is your industry doing?
Use Design Thinking
Focus on Outcome Prioritise and
Validate Agree clear targets
2
Discover the data you have
Check under the bed
Don’t overlook the ordinary
Mine opportunities in machine data
Confidentiality and Compliance
Neglected Data Look outside Read the signs Wood for the trees
3
Do an initial evaluation
Did the data meet our requirements for the outcome?
What is the likely cost benefit calculation?
How many core issues and edge issues remain?
What is the realistic timeline to deliver the first benefit?
4
Design your architecture
Benchmark your current architecture
Source Acquire Transform Stage Model View Exploit
5
Implement your initiative
Not “one and done” Focus on change
management Go for quick wins
with a narrow focus Try and start with
internal data first Build confidence Don’t forget data
governance
1Define the
business services
2Source the data
you need
3Do an initial evaluation
4Design your architecture
5Implement the
initiative
Modern Data Platform: Re-imagine a new hedgehog
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Design Thinking & Business Consulting Workshops
1. Explore Use Cases
2. Explore Business opportunities
3. Solution thinking
POV Infrastructure
1. Provision data, profile, assess
2. Evaluate possible technologies
3. Assess organisational impact
Business Model & Systems Design / Implementation
Feedback
Please complete and return the feedback form
The Modern Data Platform - Getting the most from your data
8/11
/201
7©
201
5 it
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ence
15
David Milburn Bart Patrick
Business Development ManagerBIG Data & Analytics
Director, Insurance EMEA North
[email protected] [email protected]
DavidAMilburn
Thursday August 10th 2017
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